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Hospital-Based-Medicine Subcategories: Hospitalists Infection Control Intensivists Nursing Risk Management Surveillance

Showing 1492-1512 of 4,775 articles

BSODiag: A Global Diagnosis Framework for Batch Servers Outage in Large-scale Cloud Infrastructure Systems

Cloud infrastructure is the collective term for all physical devices within cloud systems. Failure...

Jan 2025 http://arxiv.org/abs/2502.15728v1

Real Time Scheduling Framework for Multi Object Detection via Spiking Neural Networks

Given the energy constraints in autonomous mobile agents (AMAs), such as unmanned vehicles, spikin...

(1)

Jan 2025 http://arxiv.org/abs/2501.18412v1

Can Multimodal Large Language Models be Guided to Improve Industrial Anomaly Detection?

In industrial settings, the accurate detection of anomalies is essential for maintaining product q...

(1)

Jan 2025 http://arxiv.org/abs/2501.15795v1

Enhanced PEC-YOLO for Detecting Improper Safety Gear Wearing Among Power Line Workers

To address the high risks associated with improper use of safety gear in complex power line enviro...

Jan 2025 http://arxiv.org/abs/2501.13981v1

Improving Video Generation with Human Feedback

Video generation has achieved significant advances through rectified flow techniques, but issues l...

(2)

Jan 2025 http://arxiv.org/abs/2501.13918v1

Towards accurate and reliable ICU outcome prediction: a multimodal learning framework based on belief function theory using structured EHRs and free-text notes

Accurate Intensive Care Unit (ICU) outcome prediction is critical for improving patient treatment ...

Jan 2025 http://arxiv.org/abs/2501.04389v2

Exploring EEG and Eye Movement Fusion for Multi-Class Target RSVP-BCI

Rapid Serial Visual Presentation (RSVP)-based Brain-Computer Interfaces (BCIs) facilitate high-thr...

Jan 2025 http://arxiv.org/abs/2501.03596v1

BatStyler: Advancing Multi-category Style Generation for Source-free Domain Generalization

Source-Free Domain Generalization (SFDG) aims to develop a model that performs on unseen domains w...

(3)

Jan 2025 http://arxiv.org/abs/2501.01109v1

Automating Candidate Gene Prioritization with Large Language Models: From Naive Scoring to Literature-Grounded Validation

Identifying promising therapeutic targets from thousands of genes in transcriptomic studies remains ...

Jan 2025 10.1101/2025.09.17.676837

Multi-modal data integration for machine learning applications

The integration of multi-modal genomic data, encompassing sequences, annotations, and coverage track...

Jan 2025 10.1101/2025.10.10.681692

E1: Retrieval-Augmented Protein Encoder Models

Large language models trained on natural proteins learn powerful representations of protein sequence...

Jan 2025 10.1101/2025.11.12.688125

Protocol for the development and validation of machine-learning models for predicting the risk of hypertriglyceridemia in critically ill patients receiving propofol sedation using retrospective data

Propofol is a widely used sedative-hypnotic agent for critically-ill patients requiring invasive mec...

Jan 2025 10.1101/2024.08.17.24312159

Care Phenotypes In Critical Care

The Social Determinants of Health (SDoH) have long been recognised as significant drivers of health ...

(1)

Jan 2025 10.1101/2025.01.24.25320468

Deep Learning–Based Early Detection of Major Adverse Cerebral Injuries in Cardiothoracic and Vascular Surgery

Despite advances in central nervous system (CNS)-protective anesthetic and surgical strategies, peri...

Jan 2025 10.1101/2025.01.10.25320368

ORAKLE: Optimal Risk prediction for mAke30 in patients with acute Kidney injury using deep Learning

Major Adverse Kidney Events within 30 days (MAKE30) is an important patient-centered outcome for ass...

Jan 2025 10.1101/2025.01.18.25320769

Summarizing Clinical Notes using LLMs for ICU Bounceback and Length-of-Stay Prediction

Recent advances in the Large Language Models (LLMs) provide a promising avenue for retrieving releva...

Jan 2025 10.1101/2025.01.19.25320797

ICU Readmission Prediction for Intracerebral Hemorrhage Patients using MIMIC III and MIMIC IV Databases

Intracerebral hemorrhage (ICH) is a critical form of stroke resulting from bleeding within the brain...

Jan 2025 10.1101/2025.01.01.25319859

NutriSighT: Interpretable Transformer Model for Dynamic Prediction of Hypocaloric Enteral Nutrition in Mechanically Ventilated Patients

Achieving adequate enteral nutrition among mechanically ventilated patients is challenging, yet crit...

Jan 2025 10.1101/2025.01.06.25320067

Hospital-Based Medicine

Browse Categories

BSODiag: A Global Diagnosis Framework for Batch Servers Outage in Large-scale Cloud Infrastructure Systems

Real Time Scheduling Framework for Multi Object Detection via Spiking Neural Networks

Can Multimodal Large Language Models be Guided to Improve Industrial Anomaly Detection?

Enhanced PEC-YOLO for Detecting Improper Safety Gear Wearing Among Power Line Workers

Improving Video Generation with Human Feedback

Towards accurate and reliable ICU outcome prediction: a multimodal learning framework based on belief function theory using structured EHRs and free-text notes

Exploring EEG and Eye Movement Fusion for Multi-Class Target RSVP-BCI

BatStyler: Advancing Multi-category Style Generation for Source-free Domain Generalization

Automating Candidate Gene Prioritization with Large Language Models: From Naive Scoring to Literature-Grounded Validation

Multi-modal data integration for machine learning applications

E1: Retrieval-Augmented Protein Encoder Models

Protocol for the development and validation of machine-learning models for predicting the risk of hypertriglyceridemia in critically ill patients receiving propofol sedation using retrospective data

Care Phenotypes In Critical Care

Deep Learning–Based Early Detection of Major Adverse Cerebral Injuries in Cardiothoracic and Vascular Surgery

ORAKLE: Optimal Risk prediction for mAke30 in patients with acute Kidney injury using deep Learning

Summarizing Clinical Notes using LLMs for ICU Bounceback and Length-of-Stay Prediction

ICU Readmission Prediction for Intracerebral Hemorrhage Patients using MIMIC III and MIMIC IV Databases

NutriSighT: Interpretable Transformer Model for Dynamic Prediction of Hypocaloric Enteral Nutrition in Mechanically Ventilated Patients

A deep learning model for clinical outcome prediction using longitudinal inpatient electronic health records

Generative AI Mitigates Representation Bias and Improves Model Fairness Through Synthetic Health Data

Multi-contrast machine learning improves schistosomiasis diagnostic performance

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